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offensive-fuzzing-course

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Automated Vulnerability Discovery Curriculum (
offensive-fuzzing-course
)

自动化漏洞发现课程（
offensive-fuzzing-course
）

Authorization & Scope Notice: This skill is part of the REA_Skill + claude-red Unified Security & Reverse Engineering Suite. It is designed strictly for authorized security assessments, defensive architecture reviews, vulnerability triage, bug bounty verification, and remediation engineering on software, infrastructure, and assets you own or have explicit permission to test.
授权与范围声明： 此 skill 属于 REA_Skill + claude-red Unified Security & Reverse Engineering Suite。它严格用于对你拥有或已获得明确测试许可的软件、基础设施和资产进行经授权的安全评估、防御性架构审查、漏洞分诊、漏洞赏金验证和修复工程。

Overview

概述

Structured training curriculum on automated software testing: instrumentation mechanics (
 SanitizerCoverage
), dictionary creation, persistent-mode harnesses, differential fuzzing, and continuous fuzzing in CI/CD (OSS-Fuzz).
关于自动化软件测试的结构化培训课程：插桩机制（
SanitizerCoverage
）、字典创建、持久模式测试框架（persistent-mode harness）、差分模糊测试（differential fuzzing），以及在 CI/CD 中进行持续模糊测试（continuous fuzzing，OSS-Fuzz）。

Operational Workflow

操作工作流

  1. Surface & Architecture Inventory
    • Identify all entrypoints, trust boundaries, parsers, and configuration files relevant to Automated Vulnerability Discovery Curriculum (
      fuzzing
      domain).
    • Combine static code/binary inspection (via REA MCP tools, 
      rg
      , AST analysis, or decompilation) with runtime configuration verification.
  2. Hypothesis & Vulnerability Verification
    • Test each security invariant systematically against known CWE and OWASP patterns.
    • Record concrete evidence: affected file/procedure, line numbers or binary offsets, request/response trace, and root cause.
  3. Impact & Reachability Triage
    • Evaluate whether the issue is reachable across trust boundaries, whether defense-in-depth controls mitigate it, and compute an accurate CVSS v3.1 / v4.0 score.
  4. Remediation & Regression Verification
    • Implement or provide production-ready, copy-pasteable remediation code.
    • Write an automated regression test or verification command to prove the flaw is resolved with 0 regressions.
  1. 攻击面与架构盘点
    • 识别与自动化漏洞发现课程（
      fuzzing
      领域）相关的所有入口点、信任边界、解析器和配置文件。
    • 将静态代码/二进制检查（通过 REA MCP 工具、
      rg
      、AST 分析或反编译）与运行时配置验证结合起来。
  2. 假设与漏洞验证
    • 针对已知的 CWE 和 OWASP 模式，系统地测试每个安全不变量。
    • 记录具体证据：受影响的文件/过程、行号或二进制偏移、请求/响应跟踪以及根本原因。
  3. 影响与可达性分诊
    • 评估问题是否可跨越信任边界到达，纵深防御控制是否能够缓解该问题，并计算准确的 CVSS v3.1 / v4.0 分数。
  4. 修复与回归验证
    • 实施或提供生产级、可直接复制粘贴使用的修复代码。
    • 编写自动化回归测试或验证命令，以证明缺陷已解决且不存在回归问题。

Audit & Verification Checklist

审计与验证检查清单

PhaseCheckVerification MethodExpected Secure State
1. DiscoveryEnumerate all 
fuzzing
surfaces and dependencies		Source search / REA binary & bundle inspectionComplete inventory of trust boundaries
2. Input & StateValidate parser behavior, type safety, and state transitionsBoundary testing & static taint analysisStrict schema validation and invariant checks
3. Auth & IsolationVerify caller identity, tenant isolation, and least privilegeHorizontal/vertical privilege matrix checkExplicit deny-by-default enforcement
4. Defense-in-DepthInspect secondary controls, logging, and compiler/runtime flagsConfig & header/binary flag auditFull hardening and telemetry enabled
5. RemediationApply fix and execute automated regression test
npm test
/ toolchain build & test suite		0 vulnerabilities, 0 build errors
阶段检查项验证方法预期安全状态
1. 发现枚举所有 
fuzzing
攻击面和依赖项		源代码搜索 / REA 二进制与 bundle 检查完整的信任边界清单
2. 输入与状态验证解析器行为、类型安全和状态转换边界测试与静态污点分析严格的 schema 验证和不变量检查
3. 身份验证与隔离验证调用者身份、租户隔离和最小权限水平/垂直权限矩阵检查明确实施默认拒绝策略
4. 纵深防御检查次级控制、日志记录以及编译器/运行时 flags配置与头文件/二进制 flags 审计全面加固并启用遥测
5. 修复应用修复并执行自动化回归测试
npm test
/ toolchain 构建与测试套件		0 个漏洞，0 个构建错误

Integration with REA MCP & Tooling

与 REA MCP 及工具链的集成

  • Static & Binary Analysis: Pair with 
    rea-universal-orchestrator
    , 
    rea-binary-disassembly
    , 
    rea-web-bundle-recovery
    , or 
    rea-mobile-app-recovery
    when source code is unavailable.
  • Interactive Scoping: Invoke 
    /rea-grill-me
    before large-scale assessments to clarify scope, target environments, and acceptance criteria.
  • Reporting: Pair with 
    offensive-reporting
    to format findings with CVSS vectors, CWE mappings, and remediation patches.
  • 静态与二进制分析： 在无法获得源代码时，与 
    rea-universal-orchestrator
    、
    rea-binary-disassembly
    、
    rea-web-bundle-recovery
    或 
    rea-mobile-app-recovery
    搭配使用。
  • 交互式范围界定： 在大规模评估之前调用 
    /rea-grill-me
    ，以明确范围、目标环境和验收标准。
  • 报告： 与 
    offensive-reporting
    搭配使用，以 CVSS 向量、CWE 映射和修复补丁整理并格式化调查结果。